About the role
structured by ORIProglite is an AI-first IT managed services company. We build the internal tools, automation, and AI agents that power how we deliver IT services to clients — helpdesk triage agents, security alert automation, M365 operations tooling, compliance monitoring, and similar.
What you will do
- Automating recurring, manual tasks IT teams handle every day by building automation scripts and small tools in Python
- Building Power Automate flows to connect different business systems and automate repetitive manual work
- Building AI agents using the Claude API — writing the logic that connects an agent to a real system
- Creating simple dashboards and reports so people can see what an automation is doing
- Building integrations with common IT and business tools via their APIs
What they are looking for
- 1–2 years of hands-on development experience — professional, internship, or solid personal/open-source project work all count
- Working knowledge of Python — comfortable reading and writing scripts, calling APIs, and debugging your own code without needing to be walked through it
- Some exposure to Power Automate or a similar low-code automation tool (Zapier, n8n) — you don't need to be an expert, but you should understand how flow-based automation works
- Basic familiarity with git/GitHub (branches, pull requests, code review)
- Some experience calling or working with REST APIs — you understand requests, responses, and authentication at a basic level
- Genuine interest in AI agents and automation — you don't need prior experience building with LLMs, but you should be excited to learn
- Strong written and verbal communication skills
Full posting text
Proglite is an AI-first IT managed services company. We build the internal tools, automation, and AI agents that power how we deliver IT services to clients — helpdesk triage agents, security alert automation, M365 operations tooling, compliance monitoring, and similar. This role is dedicated to building and maintaining that library: designing agent workflows, writing the connectors and integrations that plug them into systems like Microsoft 365, Jira, and Confluence, and hardening them enough to run in production.
It's a hands-on engineering role for someone who wants to learn agentic AI development, Microsoft cloud tooling, and modern automation practices by building real software that the company runs on, from day one
**What you'll do**
You'll be automating the recurring, manual tasks IT teams handle every day — access reviews, license audits, alert triage, onboarding/offboarding steps, and similar — by building:
Automation scripts and small tools in Python — pulling data from APIs, transforming it, and pushing results somewhere useful
Power Automate flows to connect different business systems and automate repetitive manual work
AI agents using the Claude API — writing the logic that connects an agent to a real system (like email, a ticketing tool, or a chat app) so it can actually take action, not just answer questions
Simple dashboards and reports so people can see what an automation is doing, or catch something that needs attention
Integrations with common IT and business tools via their APIs (think: Microsoft 365, Slack, ticketing systems) — reading data from them and writing back to them
Tests and documentation for what you build, clear enough that a teammate can pick it up and extend it later]
**What we're looking for**
1–2 years of hands-on development experience — professional, internship, or solid personal/open-source project work all count
Working knowledge of Python — comfortable reading and writing scripts, calling APIs, and debugging your own code without needing to be walked through it
Some exposure to Power Automate or a similar low-code automation tool (Zapier, n8n) — you don't need to be an expert, but you should understand how flow-based automation works
Basic familiarity with git/GitHub (branches, pull requests, code review)
Some experience calling or working with REST APIs — you understand requests, responses, and authentication at a basic level
Genuine interest in AI agents and automation — you don't need prior experience building with LLMs, but you should be excited to learn
Strong written and verbal communication skills
Seniority level: Entry level
Employment type: Other
Industries: IT Services and IT Consulting